Data Engineer - (Django Must- Big Data Platform) (India)

Data Engineer - (Django Must- Big Data Platform) (India)

24 Aug
|
PayU
|
India

24 Aug

PayU

India

PAYU PAYMENTS PRIVATE LIMITED

Role:

Data Engineer – (

Django

Must- Big Data Platform)

Company:

PayU

Location:

Bangalore/Mumbai/Gurgaon

Job responsibilities:

- Building, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems

- Execute day to day operation of the data platform to ensure top-notch performance of data platform systems for customer-facing applications

- Work on features to make the data Platform more robust and resilient

- Drive automation of application deployment for production environments

- Identify and support areas for process and efficiency improvement within platform operations

- Taking ownership of your projects, and have the work in small cross functional teams to drive projects to closure

- Highly collaborative with a strong belief in continuous improvement.

- Ability to stay focused and calm in a quick-paced environment.

Requirements to be successful in this role:





- BE/B-Tech/BS/Meng/MSc in computer science or a related technical field from top-tier colleges or equivalent practical experience

- 2.5-5 years of experience working on platform infrastructure based on Cloud and open-source systems and automation.

- Must be very good with programming lang : Python

- Django/Flask (preferred, must be experienced in building APIs)

- Databases: SQL querying & db understanding (RDBMS: mysql, postgresql; Nosql: mongodb, elasticsearch, dynamodb)

- Familiarity with big data tools & distributed systems (spark, redshift, kafka)

- Cloud Computing (Any of AWS/Azure/GCP), preferred: AWS

- Orchestration: airflow, docker

Good to Have

- Monitoring/Logging frameworks (ELK, Grafana)

- Scalable Compute solutions (Kafka, Snowflake)

- Workflow management libraries and tools

- Container orchestration systems like Kubernetes

- Code-as-Infrastructure/Pipeline-as-Code (Terraform/Chef)

- Understanding and functional experience in Big Data Engineering practices: Data

- Warehousing, ingestion pipelines, ELT, data migration, QC

📌 Data Engineer - (Django Must- Big Data Platform) (India)
🏢 PayU
📍 India

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